MySQL vs CockroachDB for Solo Developers

Comparing MySQL and CockroachDB for solo developers. Features, pricing, and which to pick.

Quick Comparison

Feature	MySQL	CockroachDB
Type	Open-source relational database	Distributed SQL database
Latest version	9.7.0 LTS, released 2026-04-21	Cloud service, continuously updated
License	GPLv2 open source (self-host free)	Source-available core, paid Cloud
Pricing	Software free; managed hosting from about $12 to $15 per month	Free tier (50M RUs and 10 GiB), then Basic at $0.20 per 1M RUs and $0.50 per GiB-month; Standard from $0.18 per vCPU-hr; Advanced from $0.60 per vCPU-hr
SQL dialect	MySQL dialect	PostgreSQL wire protocol and dialect
GitHub stars	12,267 (mysql/mysql-server mirror)	32,169 (cockroachdb/cockroach)
Client driver pull (npm, weekly)	mysql2 about 10.7M	pg about 29.3M (shared Postgres ecosystem)
Learning Curve	Easy	Moderate
Best For	Traditional web apps, PHP/WordPress projects	Distributed, globally consistent SQL at scale
Solo Dev Rating	7/10	4/10

MySQL Overview

MySQL is the most widely used open-source database. It has been around for decades, runs behind millions of websites, and every developer has encountered it at some point. The setup is simple, the documentation is thorough, and the hosting options are everywhere.

For solo developers, MySQL's biggest selling point is simplicity. Install it, create a database, start querying. The tooling ecosystem is mature. phpMyAdmin, MySQL Workbench, Sequel Pro, and dozens of other GUIs exist. Every ORM supports it. Every framework integrates with it out of the box.

MySQL handles single-server workloads reliably. For the vast majority of solo developer projects, a single MySQL instance on a modest server handles the traffic without breaking a sweat.

CockroachDB Overview

CockroachDB is a distributed SQL database designed for applications that need to survive failures and span multiple regions. It is PostgreSQL-compatible, automatically shards data across nodes, and provides strong consistency guarantees. Think of it as PostgreSQL that you can spread across the globe without manually configuring replication.

The technology is impressive. CockroachDB handles multi-region deployments, automatic failover, and horizontal scaling out of the box. If a node goes down, the database keeps running. Data is automatically replicated and balanced. For companies running globally distributed systems, it solves real problems.

The free serverless tier lets you try it, and you can use the PostgreSQL wire protocol, which means most Postgres-compatible tools and ORMs work with it.

By the Numbers (2026)

Here is the verifiable state of both as of late May 2026.

MySQL. The current release line is MySQL 9.7.0, which Oracle published on 2026-04-21 as the first new Long Term Support series since 8.4. An LTS line gets 5 years of premier support followed by 3 years of extended support under the Oracle Lifetime Support Policy. The Community Edition is GPLv2 and free to run anywhere. The official mysql/mysql-server source mirror sits at 12,267 GitHub stars. On the client side, the modern Node driver mysql2 pulled 10,660,594 downloads in the week of 2026-05-21 to 2026-05-27, with the older mysql package adding another 1,278,095. That is a mature, very widely deployed ecosystem.

CockroachDB. The engine itself (cockroachdb/cockroach, written in Go) carries 32,169 GitHub stars, more than the MySQL mirror, which tells you it gets a lot of attention from the distributed-systems crowd. Because it speaks the PostgreSQL wire protocol, the relevant driver is the Postgres one, pg, which pulled 29,260,035 weekly downloads over the same window. That number reflects the entire Postgres world rather than CockroachDB alone, so read it as ecosystem reach, not Cockroach adoption.

Pricing in plain numbers. CockroachDB Cloud gives every organization a free allowance of 50 million Request Units and 10 GiB of storage per month, billed as a $15 monthly credit. Past that, the Basic plan charges $0.20 per 1 million Request Units and $0.50 per GiB of storage per month, where a Request Unit is the unit of compute and I/O a query consumes. Basic tops out around 30,000 RU per second, roughly 60 vCPUs of throughput. If you need provisioned capacity, the Standard plan starts at 2 vCPUs from $0.18 per vCPU-hour and the Advanced plan starts at 4 vCPUs from $0.60 per vCPU-hour. MySQL has no equivalent vendor bill because the software is free; your only cost is the box it runs on. Managed MySQL starts around $12.41 per month on AWS RDS (db.t4g.micro, 1 GiB RAM, 20 GiB storage) or $15 per month on DigitalOcean (1 GiB RAM, 1 vCPU, 10 GiB), and a plain self-hosted instance on a small VPS is cheaper still.

Real Cost at Solo-Dev Scale

Numbers are abstract until you plug in a workload, so here is a concrete one. Assume a small SaaS that does about 5 million database operations a month and stores 20 GiB of data. The exact RU-to-query mapping varies by query shape, so treat the operation count as an order-of-magnitude input.

CockroachDB Basic. The first 50 million RUs and 10 GiB are free. A workload that lands inside that envelope costs $0. Storage is the line item that bites first here: 20 GiB minus the 10 GiB free allowance is 10 GiB billed at $0.50 per GiB-month, so about $5 per month on storage alone, before any RU overage. Push past the free RU allowance and you add $0.20 per additional million RUs. So a genuinely small app can run near-free on Cockroach, which is the honest and appealing part of the serverless model. The catch is that costs are variable and tied to usage, so a traffic spike or a chatty migration job quietly raises the bill.

MySQL. There is no per-RU meter. A self-hosted instance on a small VPS runs a flat few dollars a month regardless of query volume, and a managed instance is a flat $12 to $15 per month at the entry tier. The cost is predictable and decoupled from how many queries you fire.

The takeaway is not that one is always cheaper. For a tiny app under the free allowance, CockroachDB Basic can win on raw dollars. For anything with real and growing traffic, MySQL's flat, predictable bill is easier to reason about, and you are not exposed to a usage-metered cost curve while you are still figuring out product-market fit. Flat and boring beats variable and clever when you are the only person watching the invoice.

Key Differences

Scale and complexity. This is the core difference. MySQL runs on a single server and handles scaling through read replicas and manual sharding. CockroachDB is distributed by design, automatically handling sharding, replication, and failover. For a solo developer running a SaaS with a few thousand users, MySQL's single-server model is more than enough. CockroachDB's distributed architecture solves problems you almost certainly do not have yet.

PostgreSQL compatibility vs MySQL dialect. CockroachDB speaks PostgreSQL's SQL dialect. MySQL speaks its own. If you are considering CockroachDB, you are really choosing between the MySQL ecosystem and the PostgreSQL ecosystem. PostgreSQL has stronger features (JSONB, full-text search, stricter types), and CockroachDB inherits most of those.

Latency trade-offs. A single MySQL server gives you consistent, low-latency queries because everything is local. CockroachDB's distributed nature adds latency overhead for writes because data needs to be replicated to achieve consensus. For a solo developer's app with a single-region deployment, MySQL will actually be faster for most operations.

Pricing reality. MySQL is free to run on your own server, with managed options starting around $12 to $15 per month. CockroachDB's free tier (50 million RUs and 10 GiB) genuinely covers experimentation and small workloads. The cost question is really about predictability. MySQL bills a flat amount no matter how many queries you run, while CockroachDB Basic meters usage at $0.20 per 1 million Request Units and $0.50 per GiB-month, and provisioned tiers run from $0.18 to $0.60 per vCPU-hour. Unless you genuinely need distributed SQL, the flat, predictable bill is the easier thing to manage while you are still finding traction.

Operational complexity. MySQL is straightforward to operate. CockroachDB, even in its serverless form, introduces concepts like multi-region configurations, survival goals, and distributed transaction semantics that add mental overhead. As the only developer on your project, every bit of complexity you add costs you time.

When to Choose MySQL

You are building a standard web application with predictable traffic
Your app runs in a single region
You want the simplest possible database setup
Budget is a primary concern
You are in the PHP/WordPress ecosystem

When to Choose CockroachDB

You genuinely need multi-region data distribution
Zero-downtime failover is a hard business requirement
You are building for massive scale from day one (rare for solo devs)
You need PostgreSQL compatibility with automatic sharding
Your workload fits inside the free tier (50 million RUs and 10 GiB), or you have budget for the provisioned Standard or Advanced tiers

The Verdict

MySQL wins this comparison for solo developers, and it is not close. CockroachDB solves distributed systems problems that solo developers do not face. The 4/10 solo dev rating for CockroachDB reflects reality: it is an excellent database for its intended use case, but that use case is enterprise-scale distributed applications, not indie SaaS projects.

If you are a solo developer, use MySQL (or even better, PostgreSQL) on a single server. When you actually need distributed SQL, and you will know when you do, then CockroachDB becomes a compelling option. Until that day, keep it simple. Your time is your most valuable resource, and spending it on distributed database configuration instead of building features is not a good trade.